Be audit-ready as a side effect of how you operate — not a fire drill.

A solution, not a single product: it stitches three ZemiData offerings — Vejigante (data-access policy), Caguana (living documentation), and Guanín (the AI governance program) — into evidence-ready compliance.

What it does

Compliance fails in the gap between what your policy says and what your systems actually do. The data-protection policy is written down; the database grants drifted months ago. When an auditor says “show me who could see this PII, and why,” teams spend weeks assembling evidence by hand — and hope it matches reality.

ZemiData closes that gap with three things working together. Declared, enforced data-access policy you can prove — masking, row-level security, retention, and residency rules compiled to your database’s own enforcement, with an effective-access diff and a per-cell lineage trace that answers “who can see this, and under which rule?” in seconds. Living documentation versioned with the system, so design records, decision logs, and runbooks are current rather than confident fiction. And an AI and data governance program with trained, accountable people behind it.

The output is evidence-ready by construction: an access map (who sees what, and why), a record of what’s masked, retained, and where, decision records with their context, and an attestation trail — generated by how you run, not assembled the week before the assessment.

And it’s mapped to the regimes you actually answer to — GDPR, CCPA/CPRA, HIPAA: purpose limitation, data-subject rights, data minimization, retention, and residency. Declare the controls once; show them against each framework.

The approach

• Evidence as a byproduct of operations. If proving compliance requires a scramble, you aren’t compliant — you’re lucky. We make the evidence a standing output of the systems themselves.
• Policy you can prove, not just publish. Effective-access diffs and lineage answer “who could see this PII, and under what rule?” with a traceable answer — before a change ships, and on demand during an audit.
• One model, many regimes. Declare data classes, access, retention, and residency once; map the same controls to GDPR, CCPA/CPRA, and HIPAA rather than maintaining a separate binder per regulator.
• Humans accountable, machines assisting. People own the decisions and the sign-offs; the tooling keeps the record honest and current. Humans. In the Loop.

Dreading your next audit? We’ll start with a read-only map of who can see what today.

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